Details
| Original language | English |
|---|---|
| Article number | 53 |
| Number of pages | 11 |
| Journal | Machines |
| Volume | 9 |
| Issue number | 3 |
| Publication status | Published - 4 Mar 2021 |
Abstract
To realize the increasing automation and flexibilization of production, it is necessary to monitor component-specific characteristics under fluctuating production conditions. Signals with a high correlation to the process quality have to be evaluated. In machining, the process force is an important measurand, which is sensitive to changes in the process. Feeling machines with force-sensitive machine tool components are therefore a promising signal source to monitor the machining. However, the force is also sensitive to non-critical process fluctuations such as stock allowance. Consequently, it is necessary to perform signal pre-processing and generate features that increase the robustness of the monitoring. In this paper, the material-specific cutting force was investigated for the first time concerning its suitability for process monitoring of parts with a stock allowance. The sensitivity of confidence limits was evaluated based on the normed bandgap. For the investigation, face turning processes of 20MnCr5 were carried out. The results show that the use of material-specific cutting force improves the sensitivity of the confidence limits to process errors. In this context, the feeling machine can be used to substitute the dynamometer for process monitoring.
Keywords
- Feeling machine, Process monitoring, Turning
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science (miscellaneous)
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Mechanical Engineering
- Mathematics(all)
- Control and Optimization
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Machines, Vol. 9, No. 3, 53, 04.03.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Feeling machine for process monitoring of components with stock allowance
AU - Denkena, Berend
AU - Bergmann, Benjamin
AU - Witt, Matthias
N1 - Funding Information: The results presented in this paper were obtained within the Collaborative Research Centre 1153 ??Process chain to produce hybrid high-performance components by Tailored Forming?? in the subproject B5 (252662854). The authors would like to thank the German Research Foundation (DFG) for its financial and organizational support of this project.
PY - 2021/3/4
Y1 - 2021/3/4
N2 - To realize the increasing automation and flexibilization of production, it is necessary to monitor component-specific characteristics under fluctuating production conditions. Signals with a high correlation to the process quality have to be evaluated. In machining, the process force is an important measurand, which is sensitive to changes in the process. Feeling machines with force-sensitive machine tool components are therefore a promising signal source to monitor the machining. However, the force is also sensitive to non-critical process fluctuations such as stock allowance. Consequently, it is necessary to perform signal pre-processing and generate features that increase the robustness of the monitoring. In this paper, the material-specific cutting force was investigated for the first time concerning its suitability for process monitoring of parts with a stock allowance. The sensitivity of confidence limits was evaluated based on the normed bandgap. For the investigation, face turning processes of 20MnCr5 were carried out. The results show that the use of material-specific cutting force improves the sensitivity of the confidence limits to process errors. In this context, the feeling machine can be used to substitute the dynamometer for process monitoring.
AB - To realize the increasing automation and flexibilization of production, it is necessary to monitor component-specific characteristics under fluctuating production conditions. Signals with a high correlation to the process quality have to be evaluated. In machining, the process force is an important measurand, which is sensitive to changes in the process. Feeling machines with force-sensitive machine tool components are therefore a promising signal source to monitor the machining. However, the force is also sensitive to non-critical process fluctuations such as stock allowance. Consequently, it is necessary to perform signal pre-processing and generate features that increase the robustness of the monitoring. In this paper, the material-specific cutting force was investigated for the first time concerning its suitability for process monitoring of parts with a stock allowance. The sensitivity of confidence limits was evaluated based on the normed bandgap. For the investigation, face turning processes of 20MnCr5 were carried out. The results show that the use of material-specific cutting force improves the sensitivity of the confidence limits to process errors. In this context, the feeling machine can be used to substitute the dynamometer for process monitoring.
KW - Feeling machine
KW - Process monitoring
KW - Turning
UR - http://www.scopus.com/inward/record.url?scp=85102738636&partnerID=8YFLogxK
U2 - 10.3390/machines9030053
DO - 10.3390/machines9030053
M3 - Article
AN - SCOPUS:85102738636
VL - 9
JO - Machines
JF - Machines
IS - 3
M1 - 53
ER -